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Home » How I Use AI Internally to Validate Product Ideas; A Real Use-Case

How I Use AI Internally to Validate Product Ideas; A Real Use-Case

September 24, 2025 by BRANDONPDUNCAN

Most of the time, AI is seen as a shortcut machine: “Write this faster,” “Build that quickly,” “Summarize this mess.” But that’s not how I use AI.

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* This post contains affiliate links. If you click the link (and make a purchase), I earn a small commission—at no extra cost to you.

Inside Smarter You, AI isn’t a “hype” tool. It’s not the shiny object. It’s a system enforcer, strategist, chief of staff, and build partner.

This is a real example of how I used my internal AI workflow to take a raw idea from inspired thought all the way through to a fully scoped, market-research-validated product concept. Then, and this part matters, I looped it back through the system to see if it still held up once it evolved.

It did.


How It Started

I kept seeing posts about time blocking and sticky note productivity boards (Kanban Boards). They’re everywhere. I’ve built tools like the Meeting Cost Calculator and the Smarter Freelance Timekeeper, both of which encourage intentional time use.

So I asked myself: What if I combined the visual flexibility of sticky notes with embedded timers?

I envisioned something beautiful. Something clean. A canvas you actually want to use.

Not a bloated project management tool. Not something with a crazy learning curve. Just a simple grid, a handful of sticky notes, and with timers built in so you can intentionally sprint and control your time.

I dropped the idea into my internal, proprietary AI ‘assistant’.

Here’s what happened next.


The Internal Workflow (Initial Pass)

My refined process follows a strict logic gate model:

  1. Problem Framing and Relevance Check
  • Is this aligned with my audience?
  • Does it reuse any of my existing code or assets?
  • Is this a 1-week build or a 3-month, long-term project?
  1. Ideation and Feature Kill Pass
  • AI helps explore 2 or 3 versions.
  • I kill everything that’s not aligned or unique.
  • I force constraints early: no complicated syncing, no bloat, no user accounts. (I try to follow an ownership over subscription model.)
  1. Specs and Structure
  • Once the concept survives all that, it gets full specs:
    • What does it look like?
    • How does it behave?
    • What could break?
  1. Market Validation
  • Competitive scan: Is this already solved better elsewhere?
  • Pricing windows: What could I realistically charge?
  • Use case profiles: Who would really use this?

The Output: A Product or Tool That’s Ready to Build

This idea, which I now call the Smarter Canvas Time Blocker, ended up passing all gates. It uses a 3×3 fixed card layout, each with a built-in timer, beautiful UI, no backend, no accounts. Think: Apple simplicity meets time-blocking focus.

It came out the other side with:

  • Full product brief
  • Wire notes
  • Build specs
  • Feasibility mapping
  • Pricing and positioning
  • A “GO” verdict (meaning it’s ready for development)

And it’s now in the queue behind two other lightweight tools I’m wrapping up—Smarter Freelance Timekeeper and Smarter Social Post.


Analysis Using a Second Pass: Did the System Actually Work?

This is were most people would have stopped. But, I love to test and validate systems, plus I know AI can be a finnicky little beast, so I ran the idea back through the system, pretending I was re-evaluating it from scratch.

What I found was:

  • The system produced exactly what it should’ve.
  • No wasted time, no duplicated effort, no scope creep.
  • The refined idea didn’t break the original logic. It confirmed it.

Awesome. That’s the point of developing an AI workflow like mine that actually enforces a thorough, structured approach. The validation was especially useful for me because I’ve spent hours generating ideas and engineering and refining prompts, only to later kill entire lists of ideas because there was a scope or customer mismatch.


Other Tools In My Arsenal

* This is an affiliate product list. I earn small commissions if you purchase. It doesn’t increase your cost.

  • LG 32GN650-B Ultragear Gaming Monitor 32” via Amazon
  • Razer Gigantus V2 Cloth Gaming Mouse Pad (Medium) via Amazon
  • Lamicall Aluminum Metal Adjustable Cell Phone Stand Desk Via Amazon

Why All This Matters

The big shift isn’t AI replacing humans or making all our decisions for us. For small and medium-sized businesses, it’s AI enforcing discipline, conducting data-driven analysis, and providing trustable validation.

I’ve seen how easy it is for AI-enhanced builders (I’m not a fan of the term ‘vibe-coder’) to drown in new ideas, vague outlines, or over-sold launches. I’ve been through it. I saw this downside early on, and I taught myself how to avoid it. This method helps me strip everything down to:

  • What matters
  • What works
  • What gets built

That’s the entire Smarter You model: affordable and ownable tools, no bloat, no over-engineering, and solving one problem at a time.

And yes, AI helps me immensely. But, only when it’s used as a ‘pick a process’ multiplier, not a ‘yes man’. I believe more in brutal honesty. (I prefer to call it realism.)


Let me know if you want to see more behind-the-scenes content like this. I’ve got several products in production, and I plan to walk through a few of them this way. Built-in-public, openly, methodically, and without pretending it’s all magic.

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Filed Under: AI, Blog, Case Studies Tagged With: AI, Processes

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